Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The Senior Data Scientist will lead the strategy, architecture, implementation, scaling, and continuous improvement of applied AI and natural language processing solutions for healthcare delivery and operational efficiency. The role combines hands-on technical execution, solution architecture, business strategy, production stewardship, and team leadership.
Responsibilities
- Establish technical direction for NLP, large language model, voice analytics, and applied AI capabilities
- Evaluate emerging AI technologies and identify practical applications for clinical and business operations
- Design and implement AI-enabled operational solutions, including voice and call analytics, AI-driven monitoring, and intelligent workflow automation
- Build scalable frameworks, reusable components, and solution patterns that accelerate future AI development and deployment
- Establish technical standards, evaluation methods, governance approaches, and best practices for AI-enabled capabilities
- Guide the responsible transition of AI concepts, research, and prototypes into reliable, supported production solutions
- Lead complex analytical initiatives from problem definition through implementation, adoption, performance monitoring, and enhancement
- Translate ambiguous business challenges into structured analytical approaches, technical architectures, and executable solution plans
- Design and oversee scalable data pipelines, feature and data-processing workflows, application architectures, and automation frameworks
- Develop and apply NLP, LLM, machine learning, statistical, optimization, and operations research methods to business problems
- Define monitoring, validation, reporting, documentation, and operational-readiness expectations for production AI solutions
- Lead technical troubleshooting and root-cause analysis for complex model, data, and application issues
- Review models, prompts, code, analytical methods, architecture, and implementation approaches for quality, reliability, and maintainability
- Partner with senior leaders and business stakeholders to identify high-value opportunities and translate strategy into practical solutions
- Communicate technical concepts, model results, limitations, risks, and trade-offs clearly to technical and non-technical audiences
- Shape the roadmap for NLP, LLM, voice analytics, automation, and advanced analytical initiatives
- Mentor GL27 Data Scientists and other technical contributors, delegate work effectively, and strengthen cross-training and knowledge transfer
- Develop executive-level presentations, dashboards, decision-support materials, technical documentation, and knowledge-sharing resources
- Balance near-term delivery and production stewardship with longer-term capability development
Skills
- 4+ years of experience in analytics or data science
- 3+ years of experience applying machine learning, natural language processing, optimization, operations research, or related advanced analytical techniques to business problems
- 3+ years of experience creating dashboards or business intelligence solutions using Power BI, Tableau, or similar tools
- 2+ years of experience with data engineering, data modeling, database design, query optimization, and SQL development
- 2+ years of experience designing and implementing data pipelines, automated workflows, software applications, or production analytical services
- Experience leading projects, conducting technical reviews, and mentoring team members
- Demonstrated experience designing and implementing production NLP, Generative AI, LLM, voice analytics, or other AI-enabled solutions
- Advanced proficiency in Python and SQL, including experience with data manipulation, model development, testing, and production-quality code
- Proven ability to lead complex analytical initiatives from problem definition through implementation and adoption
- Demonstrated solid strategic thinking, problem-solving, written, and verbal communication skills, including presenting recommendations to senior leaders and non-technical stakeholders
- Demonstrated ability to navigate ambiguity, understand end-user needs, and translate business opportunities into practical technical solutions
- Hands-on experience with LLM application patterns such as prompt engineering, retrieval-augmented generation, embeddings, semantic search, evaluation, guardrails, or model monitoring
- Experience with Snowflake for data access, transformation, analytical workloads, or production data pipelines
- Experience with Microsoft SQL Server and cloud-based analytics or AI platforms
- Experience with AI-enabled automation, contact-center analytics, voice analytics, or operational monitoring
- Experience establishing model-evaluation practices, technical standards, governance approaches, or production-readiness criteria for AI solutions
- Experience administering analytics infrastructure, databases, job-scheduling tools, and production application environments
- Experience in healthcare analytics or healthcare operations
- Experience in logistics, workforce optimization, routing, scheduling, operations research, supply chain, or Geographic Information Systems (GIS)
- Experience influencing business strategy through analytics and advanced technology
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
- Flexibility to work remotely from anywhere within the U.S.
- Clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in
Company Overview
Company H1B Sponsorship